Data_analysis

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Readme

data_analysis

PCA plot and clustering plots

Can be used for example for analysis of expression data matrices.

-Creates numpy array with the random data - the features of the created data can be changed

-centers and scales the data from the array and then calculates the PCA

-clusters the PCA output using 3 different methods: KMeans, Affinity Propagation and MeanShift

-Plots 4 graphs containing PCA and 3 graphs representing different clustering methods.

-Prints silhouette scores for every clustering method in the title of the graph.

Requirements

  • Python 3.5.1.
  • Scikit-learn, Numpy, Matplotlib

Instalation

Git can be used to get the copy of the code and example:

https://github.com/agakrawczyk/data_analysis/blob/master/PCA_plot.py

Heatmap

Creates a heatmap on the basis of the data set from http://hadobs.metoffice.com/hadsst3/ containing inf about anomalies in sea surface temperature.

Requirements

  • Python 3.5.1.
  • Pandas, Matplotlib, Seaborn

Instalation

Git can be used to get the copy of the code and example:

https://github.com/agakrawczyk/data_analysis/blob/master/Heat_map.py

https://github.com/agakrawczyk/data_analysis/blob/master/HadSST.3.1.1.0_monthly_globe_ts.txt

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Pca
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